Fuzzy-Based Evolutionary Robot Vision for People Tracking

References

• J. Cassell, Embodied Conversational Agents: Representation and Intelligence in User Interface, AI Magazine, Winter Vol. 22, No. 3, pp. 67–83, 2001
   Google Scholar
• J.A. Anderson and E. Rosenfeld,. Neurocomputing, The MIT Press, Cambridge, Massachusetts, US, 1988
   Google Scholar
• David Marr, Vision, W. H. Freeman, San Francisco, 1982
   Google Scholar
• C.-H. Chen, L.-F. Pau, P.-S-P. Wang, Handbook of Pattern Recognition & Computer Vision, World Scientific Publication Co. Pte. Ltd., 1993
   Google Scholar
• H.H. Bulthoff, S.W. Lee, T.A. Poggio, C. Wallraven, Biologically Motivated Computer Vision, Springer-Verlag, 2002
   Google Scholar
• D. Goldberg, Genetic Algorithms in Search, Optimization and Machine Learning, Massachusetts: Addison Wesley Publishing Company Inc, 1989
   Google Scholar
• J.H. Holland, Adaptation in Natural and Artificial Systems, First edition, Massachusetts, The MIT Press, 1992
   Google Scholar
• D. Fogel, Evolutionary Computation, New York: IEEE Press, 1995
   Google Scholar
• M. Lozano, F. Herrera, N. Krasnogor, D. Molina, Real-Coded Memetic Algorithms with Crossover Hill-Climbing, Evolutionary Computation, Vol. 12, No. 3, Pages 273–302, MIT Press, Cambridge, Massachusetts, US, 2004
   Google Scholar
• J. Branke, Evolutionary Optimization in Dynamic Environments, Volume 3 of the Book Series on Genetic Algorithms and Evolutionary Computation, Kluwer Academic Pub Published, 2001
   Google Scholar
• R. C. Eberhart, J. Kennedy, Y. Shi, Swarm Intelligence, Morgan Kaufinann Publisher, San Francisco, 2001
   Google Scholar
• Indra A. Sulistijono and N. Kubota, Human Head Tracking Based on Particle Swarm Optimization and Genetic Algorithm, Journal of Advanced Computational Intelligence and intelligent Informatics, Vol. 11 No. 6, Jul. 2007, pp. 681–687, 2007
   Google Scholar
• B. Fritzke. A growing neural gas networklearns topologies. In G. Tesauro, D. S. Touretzky, and T. K. Leen, editors, Advances in Neural Information Processing Systems 7, pages 625–632. MIT Press, Cambridge MA, 1995
   Google Scholar
• M. Hynar, M. Burda, J. Sarmanova: Unsupervised clustering with growing self-organizing neural network -- a comparison with non-neural approach. DATESO pp. 58–68, 2005
   Google Scholar
• Y. Wu, T. Yu, “A Field Model for Human Detection and Tracking”, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 28, No. 5, pp. 753–765, 2006
   Google Scholar
• S.M. Khan, M. Shah, “Tracking Multiple Occluding People by Localizing on Multiple Scene Planes”, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 31, No. 3, pp. 505–519, 2009
   Google Scholar
• M.W. Lee, R Nevatia, Human Pose Tracking in Monocular Sequence Using Multilevel Structured Models, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 31, No. 1, pp. 27–38, 2009
   Google Scholar
• B. Fritzke. Growing cell structures – a self–organizing network for unsupervised and supervised learning. Technical Report ICSTR–93–026, International Computer Science Institute, Berkeley, May 93
   Google Scholar
• J. Kennedy and R. Eberhart, “Particle Swarm Optimization” Proc. IEEE Int. Conf. Neural Netw., Perth, Australia, pp. 1942–1945, 1995
   Google Scholar
• N. Kubota, K Nishida, Cooperative Perceptual Systems for Partner Robots Based on Sensor Network, International Journal of Computer Science and Network Security, Volume 6, Number 11, pp. 19–28, 2006
   Google Scholar
• N. Kubota, Visual Perception and Reproduction for Imitative Learning of A Partner Robot, WSEAS Transaction on Signal Procesing, Issue 5, Vol. 2, pp. 726–731, 2006
   Google Scholar
• N. Kubota, J. Pei, A. Yorita, H. Kojima, Human Tracking and Natural Communication of Partner Robots, Proc (CD-ROM) of International Symposium on Advanced Intelligent Systems (ISIS2007), pp. 205–210, September 5–8, 2007
   Google Scholar
• N. Kubota, Computational Intelligence for Structured Learning of A Partner Robot Based on Imitation, Information Science, No. 171, pp.403–429, 2005
   Google Scholar
• F. Herrera, F. Hoffinann, L. Magdalena, O. Cordon, Genetic Fuzzy Systems: Evolutionary Tuning and Learning of Fuzzy Knowledge Bases, World Scientific Pub Co Inc, 2001
   Google Scholar
• W. Pedrycz, Fuzzy Evolutionary Computation, Kluwer Academic Pub, 1997
   Google Scholar
• N. Kubota, T. Ohinata, S. Wakisaka, H. Liu, Extraction of Facial Landmarks for a Partner Robot Based on Evolutionary Computation, Proc. of Computation Intelligence, Robotics and Autonomous Systems (LIRAS 2007), pp. 44–49, 2007
   Google Scholar